AI/ML engineers | Bangalore

Role:

Senior / Lead AI/ML Engineer Location:

Bangalore (Onsite) Exp: 6+ yrs , relevant 5+ yrs

Role Description This is a full-time, on-site role for an Artificial Intelligence ML Engineer located in Bengaluru. We are looking for a

Senior / Lead AI/ML Engineer

to design, build, and optimize

Model Context Protocol (MCP) servers ,

small language models (SLMs) , and

agentic AI workflows

within an

AWS-centric AI ecosystem . This role requires strong expertise in

LLMs/SLMs, agent orchestration, data pipelines, Snowflake, and cloud-native AI deployments .

Key Responsibilities • Design and build MCP servers that consume and process: – Business requirements – Documentation – Configurations – Structured & unstructured data sources • Optimize and fine-tune Small Language Models (SLMs) • Build and enhance agentic / multi-agent workflows tailored to specific use cases • Support data traversal, transformations, and pipelines • Work with Snowflake-backed architectures • Implement hosting, deployment, and integration patterns • Contribute within an AWS-centric AI / ML ecosystem. Ensure performance, scalability, reliability, and cost optimization.

Key Contributions: Designed and deployed

MCP servers

to process business requirements, technical documentation, configurations, and multi-source enterprise datasets Built

agentic AI workflows

integrating MCP clients with LLM/SLM reasoning pipelines Optimized

Small Language Models (SLMs)

for domain-specific tasks, achieving: • 35% latency reduction • 28% inference cost savings Developed

RAG pipelines

leveraging Snowflake + Vector DB for contextual retrieval Implemented AWS-based

model hosting & serving architecture

using: • SageMaker • ECS • Lambda Led integration of AI services into existing AWS AI ecosystem

Technical Skills • Languages: Python, SQL • Frameworks: PyTorch, TensorFlow, LangChain • GenAI: LLMs, SLMs, RAG, Agentic AI, MCP • Cloud: AWS (SageMaker, Lambda, ECS, Bedrock) • Data: Snowflake, Databricks • DevOps: Docker, Kubernetes, CI/CD

Certifications • AWS Machine Learning Specialty • Generative AI / LLM Engineering